Towards high-quality (maybe synthetic) datasets (Practical AI #290)
Publisher |
Changelog Media
Media Type |
audio
Categories Via RSS |
Technology
Publication Date |
Oct 09, 2024
Episode Duration |
00:57:04
As Argilla puts it: "Data quality is what makes or breaks AI." However, what exactly does this mean and how can AI team probably collaborate with domain experts towards improved data quality? David Berenstein & Ben Burtenshaw, who are building Argilla & Distilabel at Hugging Face, join us to dig into these topics along with synthetic data generation & AI-generated labeling / feedback.

As Argilla puts it: “Data quality is what makes or breaks AI.” However, what exactly does this mean and how can AI team probably collaborate with domain experts towards improved data quality? David Berenstein & Ben Burtenshaw, who are building Argilla & Distilabel at Hugging Face, join us to dig into these topics along with synthetic data generation & AI-generated labeling / feedback.

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Something missing or broken? ai-290.md">PRs welcome!

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